AMD Radeon RX 5300M vs NVIDIA GeForce RTX 4070 SUPER Comparison
AMD Radeon RX 5300M
GeForce RTX 4070 SUPER
PERFORMANCE BENCHMARKS
Analysis: AMD Radeon RX 5300M vs NVIDIA GeForce RTX 4070 SUPER
FAQ
Q: How does the NVIDIA GeForce RTX 4070 SUPER compare to the AMD Radeon RX 5300M in overall average benchmark score?
A: The RTX 4070 SUPER has an average benchmark score of 43223, while the RX 5300M records 36529. That puts the NVIDIA card roughly 18% higher in aggregate compute performance, though the two share similar percentile rankings at 83 and 80, respectively.
Q: What is the only benchmark where both cards have recorded scores, and by how much does the winner lead?
A: The database has a head-to-head entry for Geekbench OpenCL. The RTX 4070 SUPER scores 172795 versus 36529 for the RX 5300M, a delta of 373% in favor of the NVIDIA part.
Q: Which card has more memory bandwidth?
A: The RTX 4070 SUPER delivers 504.2 GB/s over a 192-bit bus with 12 GB of GDDR6X, while the RX 5300M offers 168.0 GB/s over a 96-bit bus with 3 GB of GDDR6.
Q: Do both cards support the same DirectX feature level?
A: No. The RTX 4070 SUPER is rated for DirectX 12 Ultimate (12_2), while the RX 5300M is rated for DirectX 12 (12_1). Both support OpenGL 4.6 and Vulkan 1.4.
Q: What is the process node difference between the two GPUs?
A: The RTX 4070 SUPER is built on a 5 nm process at TSMC with 35,800 million transistors on a 294 mm² die. The RX 5300M uses TSMC's 7 nm node with 6,400 million transistors on a 158 mm² die.
Q: Which card has dedicated ray tracing and tensor cores?
A: The RTX 4070 SUPER includes 56 ray tracing cores and 224 tensor cores. The RX 5300M lists neither ray tracing cores nor tensor cores in the database.
The Verdict
The data points to a clear split. The RTX 4070 SUPER is the choice for anyone prioritizing raw compute, modern feature support, and higher memory capacity. It wins the only direct recorded benchmark by 373%, and its average score across ten tests sits at 43223, placing it in the 83rd percentile of all GPUs. Its nearest rivals cluster tightly around that figure: the Quadro M6000 24 GB is 0.1% lower, the RTX 5050 Mobile is 0.1% lower, the Quadro M6000 is 0.2% lower, and the RTX 4090 Mobile is 1% higher. The RTX 4070 SUPER is effectively at parity with those parts in aggregated results.
The RX 5300M, by contrast, is a mobile-first part with an average score of 36529 and an 80th percentile ranking. Its nearest rivals are the GTX TITAN X at parity, the T1000 at 0.7% higher, the Radeon PRO W6400 at 1.7% higher, and the Radeon Pro Duo at 1.9% lower. It is a competent entry-level mobile GPU, but it is not in the same performance class as the RTX 4070 SUPER.
Who should pick which? Buyers who need maximum compute throughput, higher resolution texture workloads, or ray tracing support should take the RTX 4070 SUPER. Users constrained to a portable system with low power draw, where the RX 5300M's 85 W TDP and lack of external power connectors are advantages, would select the RX 5300M. The RTX 4070 SUPER requires a 550 W suggested PSU and a 16-pin connector, so it is not a drop-in for slim laptops. There is no scenario in the data where the RX 5300M wins on performance, but there is a valid use case for it in low-power mobile systems.
Head-to-Head Benchmarks
The database records exactly one benchmark where both GPUs have scores: Geekbench OpenCL. The RTX 4070 SUPER posts 172795, and the RX 5300M posts 36529. That is a 373% advantage for the NVIDIA part, a gap so large that it defines the entire comparison. The RTX 4070 SUPER also holds a 1-0 win count in head-to-head tests.
Beyond that single overlap, the RTX 4070 SUPER has a much broader recorded benchmark footprint. It scores 4627 in 3DMark Steel Nomad DX12, 205624 in Geekbench Vulkan, and 29995 in Passmark G3D. Its Passmark compute score is 17108, and its legacy DirectX results are 167 for DX10, 273 for DX11, 110 for DX12, and 344 for DX9. The 2D score is 1184. These results give it an average of 43223 across all recorded tests.
The RX 5300M has only the one Geekbench OpenCL entry, so its average score is identical to that result: 36529. It has no recorded entries for 3DMark, Vulkan, Passmark G3D, or compute workloads. This makes the head-to-head comparison one-sided by data availability as much as by raw performance. Still, the one shared test is decisive, and the percentile gap (83 versus 80) reinforces the same ordering.
The takeaway from the recorded data is straightforward: the RTX 4070 SUPER leads by roughly 4.7 times in OpenCL compute, and no recorded test shows the RX 5300M ahead. For synthetic workload comparisons, the NVIDIA card is the clear winner.
Specification Differences
The two GPUs differ in nearly every measurable specification. The RTX 4070 SUPER has 7168 shading units, 224 texture mapping units, and 80 ROPs. The RX 5300M has 1408 shading units, 88 TMUs, and 32 ROPs. The RTX 4070 SUPER also carries 56 ray tracing cores and 224 tensor cores, while the RX 5300M has none.
Clock speeds differ substantially. The RTX 4070 SUPER runs at a base of 1980 MHz and boosts to 2475 MHz. The RX 5300M has a 1000 MHz base, a 1445 MHz boost, and a 1181 MHz game clock. Memory clocks are 1313 MHz (21 Gbps effective) for the NVIDIA card versus 1750 MHz (14 Gbps effective) for the AMD card.
Memory configuration is another major split. The RTX 4070 SUPER has 12 GB of GDDR6X on a 192-bit bus, yielding 504.2 GB/s of bandwidth. The RX 5300M has 3 GB of GDDR6 on a 96-bit bus, yielding 168.0 GB/s. Pixel rate is 198.0 GPixel/s for the RTX 4070 SUPER versus 46.24 GPixel/s for the RX 5300M. Texture rate is 554.4 GTexel/s versus 127.2 GTexel/s. FP32 throughput is 35.48 TFLOPS versus 4.069 TFLOPS. The RTX 4070 SUPER also has 1:1 FP16 at 35.48 TFLOPS, while the RX 5300M has 2:1 FP16 at 8.138 TFLOPS.
Power and physical specs diverge as well. The RTX 4070 SUPER is rated at 220 W TDP, is dual-slot, uses a 16-pin connector, and suggests a 550 W PSU. The RX 5300M is rated at 85 W TDP, has no power connectors, and lists no PSU suggestion. The NVIDIA card is 267 mm long, 112 mm tall, and 42 mm wide. The RX 5300M has no recorded dimensions. Bus interface is PCIe 4.0 x16 for the RTX 4070 SUPER and PCIe 4.0 x8 for the RX 5300M. Display outputs are 1x HDMI 2.1 and 3x DisplayPort 1.4a for the NVIDIA card, while the RX 5300M is listed as portable device dependent.
Architecture Differences
The RTX 4070 SUPER is built on Ada Lovelace, NVIDIA's GeForce 40-series architecture, using the AD104 chip. The RX 5300M is built on RDNA 1.0, AMD's Navi Mobile architecture, using the Navi 14 chip. These are two generations apart in design philosophy. Ada Lovelace is a 5 nm TSMC design with 35,800 million transistors on a 294 mm² die, giving a transistor density of 121.8 million per mm². RDNA 1.0 is a 7 nm TSMC design with 6,400 million transistors on a 158 mm² die, giving a density of 40.5 million per mm². The RTX 4070 SUPER is roughly 5.6 times denser in transistor packing.
Feature support differs at the API level. The RTX 4070 SUPER supports DirectX 12 Ultimate (12_2), while the RX 5300M supports DirectX 12 (12_1). Both support OpenGL 4.6 and Vulkan 1.4. The RTX 4070 SUPER's dedicated ray tracing cores and tensor cores give it hardware acceleration paths that the RX 5300M lacks entirely. The RX 5300M's FP16 throughput at 2:1 ratio suggests a compute-oriented design, but its overall FP32 is far lower.
Release timing and lifecycle also differ. The RTX 4070 SUPER launched on 2024-01-16, succeeding the GeForce 30 series and preceding the GeForce 50 series. It is marked as end-of-life in the database. The RX 5300M launched on 2019-11-12, succeeding Polaris Mobile, and is also end-of-life. The RTX 4070 SUPER has a listed launch MSRP of 599 USD. The RX 5300M has no launch MSRP recorded. The RTX 4070 SUPER uses GDDR6X memory, while the RX 5300M uses GDDR6. The NVIDIA card's memory clock runs at 21 Gbps effective, compared to 14 Gbps effective for the AMD part.
The architectural divide is stark: a 5 nm, 35.8 billion transistor desktop GPU with 56 RT cores and 224 tensor cores versus a 7 nm, 6.4 billion transistor mobile GPU with no RT or tensor hardware. The recorded benchmarks simply reflect that hardware gap.